PROBLEM TO BE SOLVED: To divide myoelectric data acquired from a subject such as a tremor patient performing involuntary movement into a signal component corresponding to voluntary movement and a signal component corresponding to involuntary movement.SOLUTION: The myoelectric data-processing apparatus 27 includes: a storage means 29 which stores a plurality of patterns of involuntary waveforms W showing time-dependent changes of muscle potential in involuntary movement a similarity calculation means 30 which selects a most approximate waveform that is the most approximated to an acquired waveform showing time-dependent changes of acquired myoelectric data among respective involuntary waveforms W, and determines a similarity between the most approximate waveform and the acquired waveform by calculation a damping rate calculation means 31 which determines, based on the most approximate waveform and the similarity, an attenuation rate showing the ratio of a signal component of involuntary movement in the myoelectric data and a filtering means 32 which divides, based on the determined damping rate, the acquired myoelectric data into the signal component corresponding to voluntary movement and the signal component corresponding to involuntary movement.COPYRIGHT: (C)2013,JPO&INPIT【課題】不随意運動を行う振戦患者等の対象者から取得した筋電データを、随意運動に対応する信号成分と不随意運動に対応する信号成分とに分けることを可能にする。【解決手段】本発明の筋電データ処理装置27は、不随意運動時の筋電位の経時的変化を表す不随意波形Wが複数パターン記憶された記憶手段29と、取得した筋電データの経時的変化を表す取得波形に対し、各不随意波形Wの中で最も近似する最近似波形を選択し、当該最近似波形と前記取得波形との類似度を演算により求める類似度算出手段30と、前記最近似波形と前記類似度に基づき、筋電データの中で不随意運動の信号成分が含まれる割合を表す減衰率を求める減衰率算出手段31と、求めた減衰率に基づいて、取得した前記筋電データを、随意運動に対応する信号成分と不随意運動に対応する信号成分とに分けるフィルタリング手段32とを備えている。【選択図】 図1
